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IEEE Conference on Decision and control

作者： Xiasheng Shi Chaoxu Mu Changyin Sun Lu Ren Yanxu Su School of Artificial Intelligence Anhui University Hefei China Ministry of Education Engineering Research Center of Autonomous Unmanned System Technology Anhui University Hefei China Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology Anhui University Heifei China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education Dalian University of Technology School of Electrical and Information Engineering Tianjin University Tianjin China

The distributed constrained optimization problem over an undirected communication topology is investigated in this study. It focuses on addressing a global coupled equality constraint that applies to all agents. To tackle this problem, a distributed approach with arbitrary initialization is developed by virtue of the aperiodic sampling control idea and the consensus-based multi-agent system(MAS) technology. This approach is developed to address constrained optimization problems within a pre-specified time. In addition, this predefined time is freely defined by users and irrelevant to the initial states, control coefficients, and network structure of systems. The Lyapunov stability theory completes the convergence proof of the developed method. Then, the developed method is extended to handle distributed nonlinear constrained optimization problems. Finally, The availability of two developed methods is demonstrated through two simulation examples.

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$\mathrm{L}_p$ Quasi Norm State Estimator for Power Systems

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Journal of Modern Power Systems and Clean Energy 2021年第4期10卷 871-882页

作者： Zhongliang Lyu Xiaoqing Bai Hua Wei Daiyu Xie Le Zhang Peijie Li School of Electrical Engineering Guangxi University Nanning China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China Power Dispatching Control Center of Guangxi Power Grid Nanning China

This paper proposes an L p (0 2 norm estimators, the proposed estimator can suppress the bad data more effectively. The robustness of the proposed estimator is discussed, and an analysis shows that its ability to suppress bad data increases as $p$ decreases. Moreover, an algorithm is suggested to solve the non-convex state estimation problem. By introducing a relaxation factor in the mathematical model of the proposed estimator, the algorithm can prevent the solution from converging to a local optimum as much as possible. Finally, simulations on a 3-bus DC system, the IEEE 14-bus and IEEE 300-bus systems as well as a 1204-bus provincial system verify the high computation efficiency and robustness of the proposed estimator.

关键词： Power systems Mathematical model Robustness Weight measurement State estimation Noise measurement Simulation

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Mathematical Analysis of Global Dynamics and Optimal control of Treatment for an Age-Structured HBV Infection Model

SSRN

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SSRN 2023年

作者： Liu, Lili Ma, Xiaomin Li, Yazhi Liu, Xianning Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention Complex Systems Research Center Shanxi University Taiyuan030006 China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou province School of Mathematics and Statistics Qiannan Normal University for Nationalities Guizhou Duyun558000 China School of Mathematics and Statistics Southwest University Chongqing400715 China

Evidences shows that cell-to-cell infection occurs in HBV infection and is a more efficient way which may lead to more than half of viral infection. Hence, we formulate an HBV infection model with cell-to-cell infection, meanwhile, we incorporate the infection age of infected cells. For dynamic behaviors, we firstly establish the well-posedness of the model and asymptotic smoothness of the solution, and then show the global threshold dynamical behaviors, which is determined by the reproduction number, finally perform the numerical simulation not only to verify theoretical results but also explore the effects of cell-to-cell infection on the viral load and infection concentration. Our finding is that ignoring the cell-to-cell infection will underestimate the actually HBV infection status. For optimal control of treatment for HBV, we introduce two time-varying control measures and investigate the corresponding optimal control problem. We derive the characteristic express of optimal control and discuss the effects of control costs and control combination. The results show high control cost will not result in better control effectiveness, while integrated optimal control can reach the best control objectives compared with two single controls, moreover, age can greatly influences the HBV infection at the initial stage. © 2023, The Authors. All rights reserved.

关键词： Cell proliferation

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Efficient and Parallel Separable Dictionary Learning

Efficient and Parallel Separable Dictionary Learning

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Cristian Rusu Paul Irofti Faculty of Automatic Control and Computers University Politehnica Bucharest Bucharest Romania Faculty of Mathematics and Computer Science Research Center for Logic Optimization and Security (LOS) University of Bucharest Bucharest Romania

ISBN: (纸本)9781665408790

Separable, or Kronecker product, dictionaries provide natural decompositions for 2D signals, such as images. In this paper, we describe a highly parallelizable algorithm that learns such dictionaries which reaches sparse representations competitive with the previous state of the art dictionary learning algorithms from the literature but at a lower computational cost. We highlight the performance of the proposed method to sparsely represent image and hyperspectral data, and for image denoising.

关键词： Training Dictionaries Conferences Machine learning Computational efficiency Distributed algorithms Image denoising

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Water Quality Prediction Based on Improved Multi-Point Joint Learning

SSRN

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SSRN 2023年

作者： Xu, Xinghan Su, Ziyan Song, Zhao Xia, Huijuan Liu, Jianwei Yan, Xiaohui Han, Min Faculty of Infrastructure Engineering Dalian University of Technology Liaoning Dalian116024 China Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Liaoning Dalian116024 China School of Water Resources Engineering Faculty of Infrastructure Engineering Dalian University of Technology Liaoning Dalian116024 China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education Liaoning Dalian116024 China Professional Technology Innovation Center of Distributed Control for Industrial Equipment of Liaoning Province Liaoning Dalian116024 China

Water quality prediction is an effective method that can be used to prevent water pollution incidents. By accurately predicting the concentration of pollutants in waterbodies, water pollution can be more effectively controlled and prevented. In water quality data prediction, people usually predict the concentration of pollutants in future water bodies based on historical single-point water quality data, but this ignores the potential spatial characteristics between multiple water body points with similar geographical spaces. In order to solve this problem, this paper adopts the principle of data association and deep learning technology to establish the concentration prediction model of water quality indicators. The model consists of two parts: a deep learning network model based on Improved Neural Basis Unfolding Analysis of Interpretable Time Series (N-BEATS) and a deep learning network model based on Graph Neural Network (GNN). The GNN network is used to extract the spatial distribution characteristics and meteorological data of the pollutant concentration of multiple water quality collection points, and use the semivariogram function to quantify the data characteristics between © 2023, The Authors. All rights reserved.

关键词： Water quality

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Models of Battle Dynamics in Strategic Computer Games

Models of Battle Dynamics in Strategic Computer Games

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International Conference on Management of Large-Scale System Development (MLSD)

作者： Ivan Dmitrievich Laryushin Dmitrii Sergeevich Pashin Yaroslav Alekseevich Koltochenko Felix Ivanovich Ereshko Plasma Physics Department Gaponov-Grekhov Institute of Applied Physics RAS Nizhny Novgorod Russia Faculty of Physics National Research Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Department of Mathematical Modeling of Complex Systems and Optimization Moscow Institute of Physics and Technology Moscow Russia Department of Information and Computing Systems Federal Research Center "Computer Science and Control" of the RAS Moscow Russia

A set of new models that describe the dynamics of battles in strategic computer games is presented. These models not only have descriptive functions, but also allow solving problems of optimizing army control under given conditions, as well as calculating the most efficient composition of the army for the planned operation within a computer game.

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Robust control Design for Linear Systems via Multiplicative Noise

arXiv

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arXiv 2020年

作者： Gravell, Benjamin Esfahani, Peyman Mohajerin Summers, Tyler Control Optimization and Networks lab DallasUT United States Delft Center for Systems and Control DelftTU Netherlands

Robust stability and stochastic stability have separately seen intense study in control theory for many decades. In this work we establish relations between these properties for discrete-time systems and employ them for robust control design. Specifically, we examine a multiplicative noise framework which models the inherent uncertainty and variation in the system dynamics which arise in model-based learning control methods such as adaptive control and reinforcement learning. We provide results which guarantee robustness margins in terms of perturbations on the nominal dynamics as well as algorithms which generate maximally robust controllers. Copyright © 2020, The Authors. All rights reserved.

关键词： Phase noise

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Unintended side effect of the coal-to-gas policy in North China Plain: Migration of the sources and health risks of ambient PAHs

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Science of the Total Environment 2025年 958卷 178050页

作者： Li, Zhiyong Liu, Chen Ren, Zhuangzhuang Liu, Jinming Ma, Xiaohua Ning, Zhi Meng, Jianwei Liu, Aiqin Ma, Huichun Wang, Lei Chen, Lan Wang, Hao Kong, Shaofei Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Hebei Key Lab of Mineral Resources and Ecological Environment Monitoring Hebei Research Center for Geoanalysis Baoding071051 China Department of Atmospheric Sciences School of Environmental Sciences China University of Geosciences Wuhan430074 China

Ongoing coal-to-gas (CTG) largely cut down both coal consumption and associated PM2.5. However, a knowledge gap still existed in CTG impacts on the other energy and organic pollutant emissions. Coupling on-site investigation with statistical yearbooks, we provided a more realistic energy evolutions before (BCTG), during (DCTG), and after (ACTG) the CTG for Hebei Province. Together, we examined the impacts of CTG derived energy conversion on PM2.5-bound PAHs at urban (UA)/suburban rural (SRA)/remote rural (RRA) sites in winter 2022. As expected, the consumptions of coal and natural gas (NG) far decreased and increased from BCTG to ACTG, respectively. Accidentally, biomass usage rose by 60.7%, and rural CTG acted as a main driver. Specially, SRA's NG-shortage and coal-stove demolition should be the main inducements, and RRA's coal-sale ban was another trigger in the early stage of CTG. ∑18PAHs and ∑8TPAHs stand for the sum of 18 PAHs and 8 toxic PAHs, respectively. ∑18PAHs (ng/m3) presented as SRA (81.8) > RRA (46.4) > UA (19.4). Biomass burning (BB) and NG combustion (NGC) contributed most to∑18PAHs of 31.0% and 23.1% at SRA, resulting in the highest ∑18PAHs, ∑18PAHs/PM2.5, and ∑8TPAHs/PM2.5, and incremental lifetime cancer risk values. Also, NGC has become the second largest contributor at UA. Variations in both diagnostic ratios and source-depend isomers further proved the prominence of NGC related PAHs at UA vs. SRA. Notably, RRA was least affected by the CTG, coal combustion (CC, 40.4%) and BB (32.6%) still occupied the top positions. In short, CTG gave rise to an upsurge in biomass usage, and the incremental PAHs emissions from BB vs. NGC. This study underlined that the priorities should be given to rural NG guarantee and subsidy retention, and biomass prohibition for further air quality improvement. © 2024 Elsevier B.V.

关键词： Coal

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In Situ Microplastic Sers Sensor Based on Flexible AU Tapes

SSRN

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SSRN 2024年

作者： Sun, Zhenli Hong, Zijin Zhang, Yiyan Xie, Dan Duan, Fengkui Du, Jingjing MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China University of Chinese Academy of Sciences Beijing China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

A B S T R A C TMicroplastic analysis is crucial for human health. Thus far, research has primarily focused on investigating microplastics within aqueous environments, while in situ techniques for detecting microplastic particles in the atmosphere remain scarce. Herein, we introduce an innovative flexible sensor for the in-situ detection of microplastics in the atmosphere, using surface-enhanced Raman scattering (SERS) effects. Our sensor, composed of Au nanoparticle (AuNP) tapes fabricated via a novel "drop-coating and peel-off" method, demonstrates outstanding SERS performance. The size, morphology, and electromagnetic field enhancement of the AuNP tape were thoroughly characterized using multiple complementary techniques, including scanning electron microscopy, transmission electron microscopy, UV–vis spectroscopy, atomic force microscopy, and the finite-difference time-domain method. Owing to its exceptional transparency and sensitivity, the AuNP tape facilitates the reliable identification of multi-component microplastics in the atmospheric environment. This study bridges a critical gap in microplastic research and enhances our understanding of microplastic pollution. © 2024, The Authors. All rights reserved.

关键词： Scanning electron microscopy

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Economic Equilibrium with Random Transactions 2

Economic Equilibrium with Random Transactions

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2nd International Conference on control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2020

作者： Zhukova, Aleksandra Pospelov, Igor G. Moscow Institue of Physics and Technology Federal Research Center Computer Science and Control of Ras Dept. of Mathematical Modelling of Economic Systems Dept. of Mathematical Modelling of Complex Systems and Optimization Dept of Theoretical Economics Moscow Russia

ISBN: (纸本)9781728188409

This paper presents the advances in modelling the system of agents under the conditions of random transactions between them. We face certain challenges in this project which we would like to highlight in this presentation. The agents in the modelled system are a large number of consumers, a large number of producers and the bank as the intermediary. Consumers take loans from the bank to spend on consumption goods and producers borrow to make investment at random moments of time. The moments of time the agents deal form the Poisson flow. We present the approach to agents' optimal control problems by the Lagrange method instead of dynamic programming. This enables us obtaining the expressions for the optimal feedback control which appear to be linear in state variables. The solution to the optimal control problems are obtained using asymptotic methods assuming large frequency of transactions. Using the linearity of the agents' optimal control, we may aggregate description of agents, stock-flow consistent on the average. Instead of an ensemble of independent random transactions by agents, the description of the aggregate dynamics is deterministic. The system of equations for the aggregate dynamics is reduced to one equation. There are two cases of this equation, depending on the description of the bank. The equation has a specific form, its numerical analysis is challenging. We provide numerical results and discuss further directions of research. © 2020 IEEE.

关键词： Random processes

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